Brendan Keith

According to our database, Brendan Keith authored at least 28 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

A priori error analysis of the proximal Galerkin method.

Brendan Keith, Rami Masri, Marius Zeinhofer

CoRR, July, 2025

Learning thermodynamic master equations for open quantum systems.

Peter Sentz, Stanley Nicholson, Yujin Cho, Sohail Reddy, Brendan Keith, Stefanie Günther

CoRR, June, 2025

The latent variable proximal point algorithm for variational problems with inequality constraints.

Jørgen S. Dokken, Patrick E. Farrell, Brendan Keith, Ioannis P. A. Papadopoulos, Thomas M. Surowiec

CoRR, March, 2025

Analysis of the SiMPL Method for Density-Based Topology Optimization.

Brendan Keith, Dohyun Kim, Boyan S. Lazarov, Thomas M. Surowiec

SIAM J. Optim., 2025

2024

Learning Robust Marking Policies for Adaptive Mesh Refinement.

Andrew Gillette, Brendan Keith, Socratis Petrides

SIAM J. Sci. Comput., February, 2024

DRDMannTurb: A Python package for scalable, data-driven synthetic turbulence.

Alexey Izmailov, Matthew Meeker, Georgios Deskos, Brendan Keith

J. Open Source Softw., 2024

DynAMO: Multi-agent reinforcement learning for dynamic anticipatory mesh optimization with applications to hyperbolic conservation laws.

Tarik Dzanic, Ketan Mittal, DoHyun Kim, J. Yang, Socratis Petrides, Brendan Keith, Robert W. Anderson

J. Comput. Phys., 2024

A locally-conservative proximal Galerkin method for pointwise bound constraints.

Guosheng Fu, Brendan Keith, Rami Masri

CoRR, 2024

A Simple Introduction to the SiMPL Method for Density-Based Topology Optimization.

Dohyun Kim, Boyan S. Lazarov, Thomas M. Surowiec, Brendan Keith

CoRR, 2024

Improving Explainability of Softmax Classifiers Using a Prototype-Based Joint Embedding Method.

Hilarie Sit, Brendan Keith, Karianne Bergen

CoRR, 2024

Finite elements for Matérn-type random fields: Uncertainty in computational mechanics and design optimization.

Tobias Duswald, Brendan Keith, Boyan S. Lazarov, Socratis Petrides, Barbara I. Wohlmuth

CoRR, 2024

High-performance finite elements with MFEM.

Julian Andrej, Nabil M. Atallah, Jan-Phillip Bäcker, John Camier, Dylan Copeland, Veselin Dobrev, Yohann Dudouit, Tobias Duswald, Brendan Keith, Dohyun Kim, Tzanio V. Kolev, Boyan S. Lazarov, Ketan Mittal, Will Pazner, Socratis Petrides, Syun'ichi Shiraiwa, Mark Stowell, Vladimir Z. Tomov

CoRR, 2024

2023

An adaptive sampling augmented Lagrangian method for stochastic optimization with deterministic constraints.

Raghu Bollapragada, Cem Karamanli, Brendan Keith, Boyan S. Lazarov, Socratis Petrides, Jingyi Wang

Comput. Math. Appl., November, 2023

DynAMO: Multi-agent reinforcement learning for dynamic anticipatory mesh optimization with applications to hyperbolic conservation laws.

Tarik Dzanic, Ketan Mittal, Dohyun Kim, Jiachen Yang, Socratis Petrides, Brendan Keith, Robert W. Anderson

CoRR, 2023

Proximal Galerkin: A structure-preserving finite element method for pointwise bound constraints.

Brendan Keith, Thomas M. Surowiec

CoRR, 2023

Multi-Agent Reinforcement Learning for Adaptive Mesh Refinement.

Jiachen Yang, Ketan Mittal, Tarik Dzanic, Socratis Petrides, Brendan Keith, Brenden K. Petersen, Daniel M. Faissol, Robert W. Anderson

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

Risk-averse design of tall buildings for uncertain wind conditions.

Anoop Kodakkal, Brendan Keith, Ustim Khristenko, Andreas Apostolatos, Kai-Uwe Bletzinger, Barbara I. Wohlmuth, Roland Wüchner

CoRR, 2022

2021

Learning the structure of wind: A data-driven nonlocal turbulence model for the atmospheric boundary layer.

Brendan Keith, Ustim Khristenko, Barbara I. Wohlmuth

CoRR, 2021

Orbital dynamics of binary black hole systems can be learned from gravitational wave measurements.

Brendan Keith, Akshay Khadse, Scott E. Field

CoRR, 2021

A priori error analysis of high-order LL* (FOSLL*) finite element methods.

Brendan Keith

Comput. Math. Appl., 2021

2020

The surrogate matrix methodology: Accelerating isogeometric analysis of waves.

Daniel Drzisga, Brendan Keith, Barbara I. Wohlmuth

CoRR, 2020

The DPG-star method.

Leszek F. Demkowicz, Jay Gopalakrishnan, Brendan Keith

Comput. Math. Appl., 2020

2019

The Surrogate Matrix Methodology: A Priori Error Estimation.

Daniel Drzisga, Brendan Keith, Barbara I. Wohlmuth

SIAM J. Sci. Comput., 2019

Goal-Oriented Adaptive Mesh Refinement for Discontinuous Petrov-Galerkin Methods.

Brendan Keith, Ali Vaziri Astaneh, Leszek F. Demkowicz

SIAM J. Numer. Anal., 2019

The surrogate matrix methodology: A reference implementation for low-cost assembly in isogeometric analysis.

Daniel Drzisga, Brendan Keith, Barbara I. Wohlmuth

CoRR, 2019

2017

Coupled variational formulations of linear elasticity and the DPG methodology.

Federico Fuentes, Brendan Keith, Leszek F. Demkowicz, Patrick Le Tallec

J. Comput. Phys., 2017

Goal-oriented adaptive mesh refinement for non-symmetric functional settings.

Brendan Keith, Ali Vaziri Astaneh, Leszek F. Demkowicz

CoRR, 2017

2015

Orientation embedded high order shape functions for the exact sequence elements of all shapes.

Federico Fuentes, Brendan Keith, Leszek F. Demkowicz, Sriram Nagaraj

Comput. Math. Appl., 2015